Romain Vuillemot

Romain Vuillemot
Ecole Centrale de Lyon | ECL · Département Mathématiques - Informatique - M.I.

PhD. in Computer Science, Information Visualization
Assistant professor at Ecole Centrale de Lyon, LIRIS, France

About

68
Publications
33,399
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1,683
Citations
Introduction
I am a researcher crafting novel visual tools, to support humans in solving real-world, data-intensive problems. This research is at the intersection of the academic fields of Information Visualization, Human-Computer Interaction, and Design. My results are publications, prototypes, and toolkits, available online and their code open-source on GitHub. I am also interested in the combination of art, design, and visualization, to explore untapped design spaces.

Publications

Publications (68)
Article
We introduce a context-agnostic unsupervised method to count periodicity in videos. Current methods estimate periodicity for a specific type of application (e.g.some repetitive human motion). We propose a novel method that provides a powerful generalisation ability since it is not biased towards specific visual features. It is thus applicable to a...
Article
We contribute a research agenda for visualization in motion and two experiments to understand how well viewers can read data from moving visualizations. We define visualizations in motion as visual data representations that are used in contexts that exhibit relative motion between a viewer and an entire visualization. Sports analytics, video games,...
Preprint
Full-text available
We present ReViVD, a tool for exploring and filtering large trajectory-based datasets using virtual reality. ReViVD's novelty lies in using simple 3D shapes -- such as cuboids, spheres and cylinders -- as queries for users to select and filter groups of trajectories. Building on this simple paradigm, more complex queries can be created by combining...
Article
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Visual Question Answering systems target answering open-ended textual questions given input images. They are a testbed for learning high-level reasoning with a primary use in HCI, for instance assistance for the visually impaired. Recent research has shown that state-of-the-art models tend to produce answers exploiting biases and shortcuts in the t...
Preprint
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The Robotics community has started to heavily rely on increasingly realistic 3D simulators for large-scale training of robots on massive amounts of data. But once robots are deployed in the real world, the simulation gap, as well as changes in the real world (e.g. lights, objects displacements) lead to errors. In this paper, we introduce Sim2RealVi...
Article
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In this work, we propose a method to detect swimmers in unconstrained swimming videos, using a Unet-based model trained on a small dataset. Our main motivation is to make the method accessible without spending much time or money in annotation or computation while maintaining performances. The swimming videos can be recorded from various locations w...
Article
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We propose to take an artifact-centric approach to design studies by leveraging the concept of boundary object. Design studies typically focus on processes and articulate design decisions in a project-specific context with a goal of transferability. We argue that design studies could benefit from paying attention to the material conditions in which...
Preprint
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Since its inception, Visual Question Answering (VQA) is notoriously known as a task, where models are prone to exploit biases in datasets to find shortcuts instead of performing high-level reasoning. Classical methods address this by removing biases from training data, or adding branches to models to detect and remove biases. In this paper, we argu...
Preprint
Full-text available
Visual Question Answering systems target answering open-ended textual questions given input images. They are a testbed for learning high-level reasoning with a primary use in HCI, for instance assistance for the visually impaired. Recent research has shown that state-of-the-art models tend to produce answers exploiting biases and shortcuts in the t...
Article
Full-text available
Objectives Researchers worldwide are actively engaging in research activities to search for preventive and therapeutic interventions against coronavirus disease 2019 (COVID-19). Our aim was to describe the planning of randomized controlled trials (RCTs) in terms of timing related to the course of the COVID-19 epidemic and research question evaluate...
Article
Objectives: Researchers worldwide are actively engaging in research activities to search for preventive and therapeutic interventions against coronavirus disease 2019 (COVID-19). Our aim was to describe the planning of randomized controlled trials (RCTs) in terms of timing related to the course of the COVID-19 epidemic and research question evaluat...
Article
Full-text available
Objectives Researchers worldwide are actively engaging in research activities to search for preventive and therapeutic interventions against coronavirus disease 2019 (COVID-19). Our aim was to describe the planning of randomized controlled trials (RCTs) in terms of timing related to the course of the COVID-19 epidemic and research question evaluate...
Article
Full-text available
We present DRLViz, a visual analytics interface to interpret the internal memory of an agent (e.g. a robot) trained using deep reinforcement learning. This memory is composed of large temporal vectors updated when the agent moves in an environment and is not trivial to understand due to the number of dimensions, dependencies to past vectors, spatia...
Conference Paper
Full-text available
Understanding characteristics of 3-point shots is paramount for modern basketball success, as in recent decades, 3-point shots have become more prevalent in the NBA. They accounted for 33,6% of the number of total shots in 2017-2018, compared to only 3% in 1979-1980 [1]. In this paper, we aim at better understanding the connections between the type...
Chapter
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Property graphs are becoming widespread when modeling data with complex structural characteristics and enhancing edges and nodes with a list of properties. In this paper, we focus on the approximate evaluation of counting queries involving recursive paths on property graphs. As such queries are already difficult to evaluate over pure RDF graphs, th...
Preprint
Full-text available
We present DRLViz, a visual analytics interface to interpret the internal memory of an agent (e.g. a robot) trained using deep reinforcement learning. This memory is composed of large temporal vectors updated when the agent moves in an environment and is not trivial to understand. It is often referred to as a black box as only inputs (images) and o...
Preprint
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The current surge of interest in graph-based data models mirrors the usage of increasingly complex reachability queries, as witnessed by recent analytical studies on real-world graph query logs. Despite the maturity of graph DBMS capabilities, complex label-constrained reachability queries, along with their corresponding aggregate versions, remain...
Article
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Visualizing 3D trajectories to extract insights about their similarities and spatial configuration is a critical task in several domains. Air traffic controllers for example deal with large quantities of aircrafts routes to optimize safety in airspace and neuroscientists attempt to understand neuronal pathways in the human brain by visualizing bund...
Article
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In this report, we organize and reflect on recent advances and challenges in the field of sports data visualization. The exponentially‐growing body of visualization research based on sports data is a prime indication of the importance and timeliness of this report. Sports data visualization research encompasses the breadth of visualization tasks an...
Article
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Mock-ups are rapid, low fidelity prototypes, that are used in many design-related fields to generate and share ideas. While their creation is supported by many mature methods and tools, surprisingly few are suited for the needs of information visualization. In this article, we introduce a novel approach to creating visualizations mock-ups, based on...
Article
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An advanced interface for sports tournament predictions uses direct manipulation to allow users to make nonlinear predictions. Unlike previous interface designs, the interface helps users focus on their prediction tasks by enabling them to first choose a winner and then fill out the rest of the bracket. In real-world tests of the proposed interface...
Article
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We introduce a novel time navigation technique to update ranking tables by direct manipulation. The technique allows users to drag a table's cells to change the time period, while a line chart overlays on top of the table to provide an overview of the changes. The line chart is also a visual hint to control the pace at which data are updated. We ex...
Conference Paper
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We investigate the use of text search to retrieve information visualizations. This is important as the body of available visualizations on the web is growing. And it the meantime, they are difficult to find as they don't have an immediate textual description. Our approach is first to create a taxonomy of textual terms to describe visualizations, bo...
Article
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This paper explores the use of Spirographs to display data from Twitter feeds. The authors first identified particularly interesting Spirograph patterns and gave them flower names reminiscent of their visual features. They then further investigated one particular scenario using customized Spirograph patterns: the visualization of Twitter data durin...
Article
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Understanding relationships between sets is an important analysis task that has received widespread attention in the visualization community. The major challenge in this context is the combinatorial explosion of the number of set intersections if the number of sets exceeds a trivial threshold. In this paper we introduce UpSet, a novel visualization...
Conference Paper
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This article introduces A Table!, an enhanced soccer ranking table providing temporal navigation by combining two novel interaction techniques. Ranking tables order soccer teams represented as rows, according to values of columns containing attributes e.g., accumulated points, or number of scored goals. Because they represent a snapshot of a champi...
Article
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From financial statistics to nutritional values, we are frequently exposed to quantitative information expressed in measures of either extreme magnitudes or unfamiliar units, or both. A common practice used to comprehend such complex measures is to relate, re-express, and compare them through visual depictions using magnitudes and units that are ea...
Article
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We introduce Visual Sedimentation, a novel design metaphor for visualizing data streams directly inspired by the physical process of sedimentation. Visualizing data streams (e. g., Tweets, RSS, Emails) is challenging as incoming data arrive at unpredictable rates and have to remain readable. For data streams, clearly expressing chronological order...
Article
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This article presents SoccerStories, a visualization interface to support analysts in exploring soccer data and communicating interesting insights. Currently, most analyses on such data relate to statistics on individual players or teams. However, soccer analysts we collaborated with consider that quantitative analysis alone does not convey the rig...
Conference Paper
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This article explores how spectators of a live soccer game can collect detailed data while watching the game. Our motivation arouse from the lack of free detailed sport data, contrasting with the large amount of simple statistics collected for every popular games and available on the web. Assuming many spectators carry a smart phone during a game,...
Article
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INRIA Figure 1: From left to right: (a) Our two case studies (Bubble-t and Bubble-TV), (b) illustration of sedimentary rocks [1] compared to our visual sedimentation process, and (c) three types of visual sedimentation charts: bar chart, pie chart and bubble chart. ABSTRACT We present Visual Sedimentation (VS), a new design metaphor for visualizing...
Article
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RESUME.Cet article presente une architecture logicielle basee sur les services web et permettant la creation et l’evaluation d’applications visuelles interactives. Les services web sont une standardisation d’echange de donnees dans un systeme distribue, tel que le web. Ils servent principalement a la publication de donnees (au moyen d’API) stockees...
Article
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In this article we focus on emails digests visualization, namely the graphical representation of a compact set of emails in a single email [26]. The objective of this technique is to synthesize a set of data contained in emails to assist the user in decision-making and results sharing. Our contribution consists in extending the techniques introduce...
Conference Paper
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In this paper we present the DLM 3.0 project's vision for e-mail communication in enterprise. The project promotes the use of semantic techniques, based on case studies and ergonomic analysis to improve current email tools, in an enterprise context. The project's realm is to create a corporate social network centered on email, with email being conn...
Conference Paper
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An email digest is a message that results from the combination of other messages. Mailing list management systems implement digests to let subscribers reduce their email messages frequency. In this paper we address the issue of generalizing this digest technique for any message (i.e. not only issued from mailing lists). By generalizing we mean crea...
Article
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Interactive visual interfaces exploit humans visual and cognitive skills, to assit the processing of large amounts of abstract data. The designer and evaluation of these interfaces, however, remain a complex process because they cover the entire chain of information processing, from raw data, up to images. Current interfaces Jack of flexibility and...
Article
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In this paper, we are interested in exploring the idea of giv-ing users the ability to shift emails reception time, such as to pause or replay flows of emails, during a user-selected time window. To our knowledge, email analysis and interaction techniques mainly use reception time to extract sequential events from emails, such as to reconstruct con...
Conference Paper
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A common task in literary analysis is to study characters in a novel or collection. Automatic entity extraction, text analysis and effective user interfaces facilitate character analysis. Using our interface, called POSvis, the scholar uses word clouds and self-organizing graphs to review vocabulary, to filter by part of speech, and to explore the...
Article
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This paper provides one approach to analyze the social network of Paraiso Phenomenon by organizing nodes using their attributes (using NVSS [1]). Our conclusions include that the calls show a similar pattern to a normal distribution in terms of duration; that is, middle-length calls are frequent, while the shorter and longer calls are few. By assum...
Conference Paper
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In this article, we are interested in information visualisations creation and sharing. Our approach is to consider information visualisation as a dataflow, issued from web services compositions which held both syntaxic and semantic rules. To ease service composition, we introduce mashviz, a visual programming interface aimed to both designers and u...
Conference Paper
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Information Visualization is a challenging field, enabling a better use of humans' visual and cognitive system, to make sense of very large datasets. This paper aims at improving the current Information Visualizations design workflow, by enabling a better cooperation among programmers, designers and users, in a one-to-one and community oriented fas...
Conference Paper
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In this paper, we detail specifications of a Visualization On-Demand (VizOD) server. We show that packaging information visualization processes into services reachable over a network benefits both users and programmers, by reducing development cycles. We implemented a prototype based on our architecture, resulting in an innovative way to visually...